Dataset:
breast cancer
proteomics by mass spectrometry
Goal:
Explore the dataset for patterns
Create models to identify the breast cancer subclasses
11 May, 2020
h2.title { font-size: 8px; #color: #a9a9a9; text-align: center; }
Introduction
Material and Methods
The data set 
Material and Methods
Material and Methods
Exploratory analysis
PCA
K-means
ANN
Material and Methods
Results — no definitive effects between expression landscapes and specific tumor subclasses
Results — breast cancer subtypes in the dataset are well represented
Results — breast cancer subtypes do not discriminate on age
Results — breast cancer and gender
Results — protein expresion heatmap
Results — dimentionality reduction
Results — K-means clustering
Results — ANN model’s structure
Results — ANN performance
Discussion
What could have been better
further work
The end
